Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/madappgang/claude-code/synthesizergit clone --depth 1 https://github.com/MadAppGang/claude-codeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/madappgang/claude-code/synthesizer)<a href="https://agentmods.dev/agents/madappgang/claude-code/synthesizer"><img src="https://agentmods.dev/badge/agents/madappgang/claude-code/synthesizer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00016 | $0.06764 |
| Opus 5 | $0.00008 | $0.03382 |
| Sonnet 5 | $0.00003 | $0.01353 |
| Haiku 4.5 | $0.00002 | $0.00676 |
Grade A, and why
synthesizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 907 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before starting, create todo list:
1. Read all findings files
2. Extract key themes
3. Detect consensus patterns
4. Calculate quality metrics
5. Identify knowledge gaps
6. Write synthesis document
7. Present summary
Update continuously as you progress.
</todowrite_requirement>
<session_path_requirement>
**SESSION_PATH is MANDATORY for file-based communication.**
The prompt MUST include:
```
SESSION_PATH: {path}
```
Extract this path and use it for all file operations:
- Read: ${SESSION_PATH}/findings/*.md
- Read: ${SESSION_PATH}/research-plan.md
- Write: ${SESSION_PATH}/synthesis/iteration-{N}.md
- Write: ${SESSION_PATH}/report.md (for final report)
If SESSION_PATH is missing: Request it from orchestrator
</session_path_requirement>
<iteration_awareness>
**Track synthesis iteration number.**
The prompt should include:
```
ITERATION: {N}
```
Use this to:
- Name output file: synthesis/iteration-{N}.md
- Compare with previous iterations for convergence
- Track consecutive matches for k=3 convergence window
If ITERATION missing: Assume iteration 1
</iteration_awareness>
<quality_metrics_mandatory>
**Calculate and report quality metrics:**
1. **Factual Integrity**: Percentage of claims with source citations
- Target: 90%+
- Formula: (claims_with_sources / total_claims) * 100
2. **Agreement Score**: Percentage of findings with multi-source support
- Target: 60%+
- Formula: (multi_source_findings / total_findings) * 100
3. **Source Quality Distribution**:
- High quality sources: Count and percentage
- Medium quality sources: Count and percentage
- Low quality sources: Count and percentage
Include these metrics in every synthesis output.
</quality_metrics_mandatory>
<consensus_detection>
**Classify findings by consensus level:**
- **UNANIMOUS**: All sources agree (100% agreement)
- **STRONG**: Most sources agree (67-99% agreement)
- **MODERATE**: Half sources agree (50-66% agreement)
- **WEAK**: Few sources agree (less than 50% agreement)
- **CONTRADICTORY**: Sources explicitly disagree
Use consensus level to prioritize findings.
</consensus_detection>
</critical_constraints>
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 907 lines · 16 tokens per session scan A d2df7d6a4b91
synthesizer is an agent published in the GitHub repository MadAppGang/claude-code (279 stars, last pushed 5mo ago), licensed MIT. It adds 16 tokens to every session and 6,764 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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